Developing Postfix-GP Framework for Symbolic Regression Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Misc{oai:arXiv.org:1507.01687,
  title =        "Developing Postfix-{GP} Framework for Symbolic
                 Regression Problems",
  note =         "Comment: 8 pages, 6 figures",
  author =       "Vipul K. Dabhi and Sanjay Chaudhary",
  year =         "2015",
  month =        jul # "~07",
  keywords =     "genetic algorithms, genetic programming",
  abstract =     "This paper describes Postfix-GP system, postfix
                 notation based Genetic Programming (GP), for solving
                 symbolic regression problems. It presents an
                 object-oriented architecture of Postfix-GP framework.
                 It assists the user in understanding of the
                 implementation details of various components of
                 Postfix-GP. Postfix-GP provides graphical user
                 interface which allows user to configure the
                 experiment, to visualize evolved solutions, to analyse
                 GP run, and to perform out-of-sample predictions. The
                 use of Postfix-GP is demonstrated by solving the
                 benchmark symbolic regression problem. Finally,
                 features of Postfix-GP framework are compared with that
                 of other GP systems.",
  bibsource =    "OAI-PMH server at export.arxiv.org",
  identifier =   "doi:10.1109/ACCT.2015.114",
  oai =          "oai:arXiv.org:1507.01687",
  URL =          "http://arxiv.org/abs/1507.01687",
  notes =        "2016 Sixth International Conference on Advanced
                 Computing & Communication Technologies ACCT 2016?",
}

Genetic Programming entries for Vipul K Dabhi Sanjay Chaudhary

Citations